United States Department of Transportation
i
A Multi-Criteria Decision Making Approach to the Formulation and Selection of Anti-Icing Liquids
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2010-11-15
[PDF-443.29 KB]
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TRIS Online Accession Number:01337414
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Edition:Transportation Research Board 90th Annual Meeting
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Abstract:To effectively fight snow storms in the challenging funding environment, many maintenance agencies in North America have started to produce their own anti-icing liquids, instead of procuring commercial anti-icers. This work demonstrates a systematic approach to data-driven, multi-criteria decision-making, by conducting a set of laboratory tests to assess twenty blended chloride-based anti-icing formulations. The laboratory data were then used to establish predictive models correlating the multiple design parameters with the anti-icer performance and impacts or with an anti-icer composite index. The authors used artificial neural networks for modeling and examined anti-icer performance (characteristic temperature and ice-melting capacity at 30°F and 15°F respectively) and impacts (splitting tensile strength of concrete after ten freeze-thaw cycles and corrosively to mild steel). The anti-icer composite index was calculated for four different user priority scenarios (cost-first, performance-first, impacts-first, or a balanced approach), each of which placed a different set of decision weights on various target attributes. Three-dimensional response surfaces were then constructed to illustrate such predicted correlations and to guide the direction for formulation improvements.
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